Based on the complete Hadoop technology ecosystem, AISWare DataInfrastructure provides enterprises with multiple types of data storage, stream batch data calculation, cross-domain and cross-source query, real-time retrieval, data lake management, multi-cluster control, tenant resource allocation, and intelligent auxiliary operations and other technical capabilities, and provides professional big data operations, consultation and other services to help customers build an efficient and safe enterprise-level basic platform of big data.
Providing structured and unstructured data storage capabilities, and using erasure coding technology to save data storage space
Providing various data processing capabilities such as stream processing, batch processing, cross-source interactive analysis, and real-time retrieval
Providing cloud-edge cluster control capabilities, supporting installation and deployment, monitoring, user management, authority management, auditing, resource management and other functions of cluster
The independently developed core technology is compatible with community standards, supports X86 and ARM architecture servers, and is compatible with domestic operating systems such as BC_linux and Euler
Supporting structured and unstructured data storage, supporting integrated lake and warehouse storage, and using erasure coding technology to improve storage efficiency
The high-speed query engine supports cross-domain and cross-source unified queries, provides standard SQL queries, supports multi-tenancy and security management and other capabilities; the unstructured data retrieval engine supports unstructured data acquisition, storage and retrieval capabilities within the enterprises
An integrated big data platform capability control and operating system are realized with multi-tenant as the core, and resources are in batches on demand,and usable upon allocation, providing users, authentication, authorization and auditing management to ensure the health and stability of cluster
Providing cluster load, performance analysis and log retrieval functions of big data to help discover cluster problems; precipitation and transfer of operations knowledge reduces the difficulty of cluster operations
Professional R&D and operations teams provide expert services, and provide customers with big data platform solutions integrating installation, control, operations and optimization and advanced technical support services
Integrated lake and warehouse storage
Diversified analysis to achieve values
Complete system, which is health and safety
A basic platform of big data and a big data cluster control and cluster insight platform have been built with DataInfrastructure, introducing the stream processing engine and associated retrieval engine service. Internally, the enhancement of centralized data storage, unified resource control, cluster operations insights, data calculation and analysis and other capabilities has been realized to build the basic core capabilities for external realization of big data, thereby effectively enhancing the value of enterprise data.
The enterprise has built a complete big data service system focusing on platforms, tenants, businesses, data, tools, and applications. The system internally supports production and operation, improves management capability and service efficiency, and externally contributes to the digital transformation of the economy and society.